David Lang
- Education top 10%
- Artificial Intelligence
- Computer Science Applications top 5%
- Developmental and Educational Psychology
- Clinical Psychology
- Co-authors
- Benjamin W. DomingueJason D. YeatmanAndreas PaepckeGuanling ChenDragan GaševićHeather J. HoughGuanliang ChenJionghao Lin
- Topics
- Online Learning and Analytics (9 papers)Intelligent Tutoring Systems and Adaptive Learning (6 papers)Topic Modeling (6 papers)
- Journals
- ScienceFuture Generation Computer SystemsTeachers College Record The Voice of Scholarship in Education
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David Lang
20 papers receiving 201 citations
Peers
Comparison fields: 5 of 59
- Education 73
- Artificial Intelligence 67
- Computer Science Applications 67
- Developmental and Educational Psychology 47
- Clinical Psychology 19
Countries citing papers authored by David Lang
This map shows the geographic impact of David Lang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lang more than expected).
Fields of papers citing papers by David Lang
This network shows the impact of papers produced by David Lang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Lang. The network helps show where David Lang may publish in the future.
Co-authorship network of co-authors of David Lang
This figure shows the co-authorship network connecting the top 25 collaborators of David Lang. A scholar is included among the top collaborators of David Lang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Lang. David Lang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 13 | |
| 4 | 15 | |
| 5 | 22 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | Changing Patterns of Growth in Oral Reading Fluency during the COVID-19 Pandemic. Working Paper. | 2 |
| 10 | 2 | |
| 11 | 13 | |
| 12 | 31 | |
| 13 | 1 | |
| 14 | 31 | |
| 15 | 1 | |
| 16 | Predictors of student satisfaction: a large-scale study of human-human online tutorial dialogues | 9 |
| 17 | 31 | |
| 18 | 1 | |
| 19 | Making the Grade: How Learner Engagement Changes after Passing a Course. | 1 |
| 20 | 3 |
About David Lang
David Lang is a scholar working on Computer Science Applications, Artificial Intelligence and Software, having authored 20 papers that have together received 205 indexed citations. Recurring topics across this work include Online Learning and Analytics (9 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Topic Modeling (6 papers). The work is most often cited by research in Computer Science Applications (67 citations), Developmental and Educational Psychology (47 citations) and Education (73 citations). David Lang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Benjamin W. Domingue, Jason D. Yeatman, Andreas Paepcke, Guanling Chen, Dragan Gašević, Heather J. Hough, Guanliang Chen, Jionghao Lin, Robb Willer and Rebecca D. Silverman. Their work appears in journals such as Science, Future Generation Computer Systems and Teachers College Record The Voice of Scholarship in Education.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.